Friday, September 25, 2020

Risk Management in Development Projects

Risk Management in Development Projects Project teams usually spend a large portion of their time solving problems instead of preventing them. Project risk management seeks to preemptively manage positive and negative events that may affect a project so as to improve its chance of success.What will you be able to do by the end of the course? Identify risks in scenarios of uncertainty Determine who can help you Understand how to manage risks in settings with limited resources Develop risk response strategies Monitor and update risks throughout the life of the project  Who is this course for? Project managers or supervisors Project team members Funders and financiers Public officials from national, subnational, and municipal entities Professionals from different fields who help develop and execute projects Professionals Interested in risk management in development projects By taking this course you will have the opportunity to share your knowledge and experience with other participants. There will be a case study through which you will be able to apply best risk-management practices to a project and you will also carry out practical exercises that will help you understand key concepts.Course content is based on the Inter-American Development Bank’s risk management methodology, which is aligned with A Guide to the Project Management Body of Knowledge, Sixth Edition, 2017, of the Project Management Institute (PMI)®.The Project Management Institute (PMI®) has authorized the INDES, a Registered Education Provider (R.E.P.), to grant 30 professional development units (PDUs) if you receive the certificate for this course.

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Budgeting and Finance for Public Libraries

Budgeting and Finance for Public Libraries Money isn&rsquo;t generally the first topic that comes to mind when thinking about libraries, however it is a critical resource that touches every aspect of the organization. Whether you are an aspiring manager or a library director, it is important that your organization&rsquo;s finances are aligned with your service goals and priorities. This course, part of the Public Library Management Professional Certificate program, will help you understand how to build a budget, read financial reports, and plan for the long-term sustainability of your library.

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Gestão de Projetos de Desenvolvimento

Gestão de Projetos de Desenvolvimento *** Este curso ser&aacute; dado em portugu&ecirc;s ***Um dos desafios enfrentados diariamente pelos governos, institui&ccedil;&otilde;es p&uacute;blicas, ag&ecirc;ncias de desenvolvimento e outros agentes que promovem o desenvolvimento econ&ocirc;mico e social na Am&eacute;rica Latina e no Caribe &eacute; transformar propostas em realidades concretas que melhorem o bem-estar da sociedade e permitam que esses resultados sejam alcan&ccedil;ados dentro do prazo e com os recursos dispon&iacute;veis.Este curso apresenta conceitos e ferramentas que podem ser aplicados na gest&atilde;o de projetos e gerar uma mudan&ccedil;a substancial para atingir os objetivos propostos. Assim, este MOOC se prop&otilde;e a fortalecer a capacidade de gest&atilde;o de projetos de desenvolvimento para que os governos da Regi&atilde;o os executem de forma eficaz e efetiva.Este curso inclui casos pr&aacute;ticos que ajudam a entender os principais conceitos e ferramentas para o gerenciamento de projetos, apresenta&ccedil;&otilde;es de pessoal certificado como Project Management Professional (PMP) &reg;, com ampla experi&ecirc;ncia no assunto, f&oacute;runs de discuss&atilde;o e leituras selecionadas.A base conceitual deste curso &eacute; a metodologia PM4R (Project Management for Results), desenvolvida pelo Instituto Interamericano de Desenvolvimento Econ&ocirc;mico e Social (INDES), do BID, cujos conte&uacute;dos baseiam-se no Project Management Institute, A Guide to the Project Management Body of Knowledge (PMBOK&reg; Guide) &ndash; Sixth Edition, Project Management Institute, Inc., 2017.Embora essas melhores pr&aacute;ticas tenham estado presentes por muitos anos em projetos empresariais privados, nos &uacute;ltimos anos, o BID tem liderado o processo de sua incorpora&ccedil;&atilde;o progressiva ao setor p&uacute;blico e aos projetos de desenvolvimento, contribuindo para a constru&ccedil;&atilde;o de realidades que melhoram vidas. O INDES, como um Registered Education Provider (R.E.P.), foi aprovado pelo Project Management Institute (PMI) &reg; para fornecer 30 unidades de desenvolvimento profissional (PDUs), caso voc&ecirc; obtenha o certificado deste curso.O per&iacute;odo de dedica&ccedil;&atilde;o estimada para este curso &eacute; de 6-7 horas semanais durante 5 semanas. Contudo, por meio da modalidade &ldquo;em seu pr&oacute;prio ritmo&rdquo; (self-paced em ingl&ecirc;s), voc&ecirc; ter&aacute; a flexibilidade de concluir o curso em um per&iacute;odo m&aacute;ximo de 7 meses, do dia 9 de maio a 12 de dezembro de 2019.A prepara&ccedil;&atilde;o deste curso foi financiada pelo Fundo de Fortalecimento da Capacidade Institucional (FISC), gra&ccedil;as &agrave; contribui&ccedil;&atilde;o do governo da Rep&uacute;blica Popular da China.PMBOK &eacute; uma marca registrada do Project Management Institute, Inc.

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Thursday, September 24, 2020

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Pratiquer la méthode de recherche en sciences humaines et sociales

Pratiquer la méthode de recherche en sciences humaines et sociales O&ugrave; chercher l&rsquo;information ? Comment s&rsquo;organiser pour sauvegarder ses donn&eacute;es ? De quelle mani&egrave;re r&eacute;f&eacute;rencer ses sources ? Quelle technique adopter pour lire un article scientifique ? Comment formuler sa question de recherche ? Qu&rsquo;est-ce qu&rsquo;un cadre th&eacute;orique ? Quels cas d&rsquo;application mobiliser ?&Agrave; l&rsquo;aube d&rsquo;un projet de recherche, ces questions &ndash; et bien d&rsquo;autres &ndash; taraudent de nombreux &eacute;tudiants, d&egrave;s lors perdus face au manque de rep&egrave;res. Le monde de la recherche universitaire s&rsquo;est dot&eacute; de m&eacute;thodes afin de guider l&rsquo;apprenti chercheur dans cette aventure intellectuelle, depuis les t&acirc;tonnements de la recherche d&rsquo;information jusqu&rsquo;&agrave; la communication des r&eacute;sultats de sa recherche, en passant notamment par l&rsquo;exploration des donn&eacute;es et la construction de mod&egrave;les d&rsquo;analyse.Ce cours pr&eacute;sente une telle d&eacute;marche m&eacute;thodologique, dans une approche p&eacute;dagogique ax&eacute;e tant sur des savoirs que sur des savoir-faire, permettant de s&rsquo;approprier et de mettre en pratique les outils ainsi que de tracer les rep&egrave;res n&eacute;cessaires &agrave; l&rsquo;apprentissage du m&eacute;tier d&rsquo;universitaire.

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Statistical Inference and Modeling for High-throughput Experiments

Statistical Inference and Modeling for High-throughput Experiments In this course you&rsquo;ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation. We provide several examples of how these concepts are applied in next generation sequencing and microarray data. Finally, we will discuss hierarchical models and empirical bayes along with some examples of how these are used in practice. We provide R programming examples in a way that will help make the connection between concepts and implementation. Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts. These courses make up 2 XSeries and are self-paced: PH525.1x: Statistics and R for the Life Sciences PH525.2x: Introduction to Linear Models and Matrix Algebra PH525.3x: Statistical Inference and Modeling for High-throughput Experiments PH525.4x: High-Dimensional Data Analysis PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays PH525.6x: High-performance computing for reproducible genomics PH525.7x: Case studies in functional genomics This class was supported in part by NIH grant R25GM114818. &nbsp;

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Wednesday, September 23, 2020

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Entrepreneurial Operations: Launching a Startup

Entrepreneurial Operations: Launching a Startup This startup operations course will examine the real-world operational challenges and execution risks associated with getting a new venture started. We will consider start-up ventures in a variety of industries. The course will provide you with a set of steps, frameworks, and tools that can be used to understand the important considerations for building a startup operation from scratch. &nbsp;In each module, the students will be exposed to a different operations-related concept. Lecture notes, readings, and case studies will explore the key operations topics that are important for start-ups. Topics include: The role of Operations in Launching a New Venture Developing an Operations Mindset Using the Value Chain Canvas to document your Startup Operations Operational Risks and Challenges in Launching a New Venture Operations Metrics for Managing New Venture Performance

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Tuesday, September 22, 2020

Financial Management in Organizations

Financial Management in Organizations Want to learn how to make your corporation&rsquo;s money make money? In this course you will learn how to compare various investment types, select the most viable financial investment opportunity, and maximize your corporation&rsquo;s wealth. If you want to get a better understanding of how Wall Street works, this course is for you. You will learn how financial managers use discounted cash flow and rate-of-return analyses to evaluate projects and financial instruments, the role of the cost of capital and the Capital Asset Pricing Model (CAPM) in capital investment analysis and selection, capital budgeting, stock and bond valuation, break-even analysis, capital market efficiency, real options, short-term financial management, and be introduced to international finance.This course is part of the Accounting and Financial Management MicroMaster&rsquo;s program from UMGC. Upon completion of the program and receipt of the verified MicroMaster&rsquo;s certificate, learners may then transition into the full UMGC Master&rsquo;s Program in Accounting and Financial Management without any application process or testing. See the MicroMasters program page for more.

* This article was originally published here

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Intro to Traffic Flow Modeling and Intelligent Transport Systems

Intro to Traffic Flow Modeling and Intelligent Transport Systems Travelers in large cities experience significant congestion during their everyday trips. Expanding roads and infrastructure is not a long-lasting remedy to urban congestion. This course will focus on understanding traffic congestion and will explore ways to improve mobility through advanced traffic management schemes. As we all experience, congestion is a highly complex process without a single explanation. An interesting question is: &ldquo;Can we describe these complex interactions with simple and elegant ways? &ldquo;&nbsp;The course will introduce the fundamentals of traffic flow theory and will describe different traffic flow models in micro- and macroscopic level. Network-level aggregated modeling and control approaches are introduced based on the concept of the Macroscopic Fundamental Diagram (MFD). Advanced traffic management schemes (such as adaptive traffic signal control, ramp metering, variable speed limits) are discussed. User equilibrium analysis is introduced through applications of route and departure time choices. Relative reading material, exercises and real data sets are provided.

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Monday, September 21, 2020

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Introduction to Linux

Introduction to Linux Develop a good working knowledge of Linux using both the graphical interface and command line, covering the major Linux distribution families. Linux powers 100% of the world&rsquo;s supercomputers, most of the servers powering the Internet, the majority of financial trades worldwide and over two billion Android devices. In short, Linux is everywhere. It appears in many different architectures, from mainframes to server to desktop to mobile and on a staggeringly wide variety of hardware. Moreover, 80 percent of hiring managers reported that they will prioritize hiring Linux talent relative to other skills areas, and 47 percent of hiring managers say they&rsquo;re more likely to hire a candidate with Linux certification. This course explores the various tools and techniques commonly used by Linux system administrators and end users to achieve their day-to-day work in a Linux environment. It is designed for experienced computer users who have limited or no previous exposure to Linux, whether they are working in an individual or Enterprise environment. Upon completion of this training you should have a good working knowledge of Linux, from both a graphical and command line perspective, allowing you to easily navigate through any of the major Linux distributions. You will be able to continue your progress as either a user, system administrator or developer using the acquired skill set. Join the 800,000+ students who are already enrolled in this course and start your Linux journey.

* This article was originally published here

Fundamentals of Red Hat Enterprise Linux

Fundamentals of Red Hat Enterprise Linux This course will provide you with a basic introduction to Linux® skills using Red Hat® Enterprise Linux 7. It will show you how a Linux system is organized, and will demonstrate introductory system administration tasks, which you will be able to practice on your own. You will be introduced to reasons why Linux and the open source development model are so important in today's computing environment. Linux systems are used everywhere—the internet, point-of-sale systems, and the world's stock markets. You’ll find Linux running smart TVs, in-flight entertainment systems, and most of the top supercomputers in the world. There are many reasons why it is valuable for you to learn Linux. If you are looking for new opportunities in IT, Linux skills are in high demand. For example, if you are developing applications, it's likely your application or its runtime is hosted on Linux. If you're working in the cloud, your cloud instances may be based on Linux, and your private or public cloud environment is also probably based on Linux. If you're working with mobile applications or the Internet of Things, it is also likely that the operating system of your device is based on Linux. And, if you use Windows, you'll need to interoperate with Linux. After completing this course, you will have a solid introduction to working with Linux from the command line, using Red Hat Enterprise Linux 7 as a model. In applying these skills, you will be able to perform fundamental operational tasks, whether your Linux machine is on your desk or on a remote system across the Internet.

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Inversión Extranjera como Motor del Desarrollo para América Latina y el Caribe

Inversión Extranjera como Motor del Desarrollo para América Latina y el Caribe En las &uacute;ltimas dos d&eacute;cadas, se ha producido un aumento considerable de los flujos de inversi&oacute;n extranjera directa (IED). Tradicionalmente, los flujos de inversi&oacute;n extranjera proven&iacute;an solo de pa&iacute;ses desarrollados, pero recientemente los pa&iacute;ses en desarrollo se han convertido en una fuente significativa de inversiones. Su participaci&oacute;n como origen de IED paso del 6% de los flujos globales (1990) antes de la Gran Liberalizaci&oacute;n, al 32% en 2015, a pesar de la Gran Recesi&oacute;n de 2008.&iquest;Qu&eacute; significa la inversi&oacute;n extranjera directa para las personas, empresas y econom&iacute;as de Am&eacute;rica Latina y el Caribe? &iquest;C&oacute;mo pueden los gobiernos atraer con mayor &eacute;xito la IED? &iquest;Pueden las alianzas p&uacute;blico-privadas aumentar la inversi&oacute;n extranjera en infraestructura? &iquest;Cu&aacute;les son algunos de los casos de &eacute;xito en Am&eacute;rica Latina y el Caribe?En&nbsp;este curso analizar&aacute;s el rol de la inversi&oacute;n extranjera en el desarrollo sustentable, sus impactos econ&oacute;micos, las diversas pol&iacute;ticas nacionales de inversi&oacute;n &mdash;incluyendo el rol de las alianzas p&uacute;blico-privadas, las principales disposiciones de los acuerdos internacionales de inversi&oacute;n que obligan a empresas y gobiernos, y distintas estrategias para implementar pol&iacute;ticas exitosas de inversi&oacute;n en Am&eacute;rica Latina y el Caribe.Este curso est&aacute; dirigido a profesionales del sector privado, funcionarios p&uacute;blicos y estudiantes universitarios interesados en aprender sobre la IED y su importancia econ&oacute;mica para las econom&iacute;as, las empresas y las personas&nbsp;en Am&eacute;rica Latina y el Caribe.La dedicaci&oacute;n estimada para aprobar este curso es de cinco a siete horas semanales. El curso estar&aacute; abierto del 02 de mayo de 2019 al 02 de febrero de 2020.

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Sunday, September 20, 2020

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Découvrir la science politique

Découvrir la science politique Le politique nous concerne tous : chaque jour, des d&eacute;cisions publiques sont adopt&eacute;es qui impactent notre quotidien. Dans quel contexte ces d&eacute;cisions sont-elles adopt&eacute;es ? Au 21&egrave;me si&egrave;cle, de nombreux paradoxes brouillent la vision que nous pouvons en avoir. Qu&rsquo;est-ce que le pouvoir dans la soci&eacute;t&eacute; actuelle ? Quels acteurs en d&eacute;tiennent ? L&rsquo;&Eacute;tat demeure-t-il un acteur politique majeur s&rsquo;il est concurrenc&eacute; par des organisations internationales et r&eacute;gionales ? Comment la d&eacute;mocratie pr&ocirc;n&eacute;e par la communaut&eacute; internationale se diff&eacute;rencie-t-elle des r&eacute;gimes autoritaires voire totalitaires ? Quelle est la place des id&eacute;ologies dans le monde actuel ? Le cours vise &agrave; comprendre et &agrave; expliquer des ph&eacute;nom&egrave;nes politiques &agrave; partir d&rsquo;une posture d&rsquo;analyse critique.

* This article was originally published here

Saturday, September 19, 2020

Reinforcement Learning Explained

Reinforcement Learning Explained Reinforcement Learning (RL) is an area of machine learning, where an agent learns by interacting with its environment to achieve a goal.&nbsp; In this course, you will be introduced to the world of&nbsp; reinforcement learning. You will learn how to frame reinforcement learning problems and start tackling classic examples like news recommendation, learning to navigate in a grid-world, and balancing a cart-pole. You will explore the basic algorithms from multi-armed bandits, dynamic programming, TD (temporal difference) learning, and progress towards larger state space using function approximation, in particular using deep learning. You will also learn about algorithms that focus on searching the best policy with policy gradient and actor critic methods. Along the way, you will get introduced to Project Malmo, a platform for Artificial Intelligence experimentation and research built on top of the Minecraft game.edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

* This article was originally published here

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Health Informatics: A Current and Historical Perspective

Health Informatics: A Current and Historical Perspective A brief history of the healthcare informatics field emphasizing long recognized key capabilities and the reasons for their slow adoption. An introduction to the Fast Healthcare Interoperability (FHIR) standard and its transformative potential. This is illustrated by an interview with the clinical team developing a FHIR based tool for use in an ICU environment. A survey of the problems and challenges facing healthcare systems around the world and in the US in particular. An introduction of chronic disease and its key role in rising healthcare costs. Alternate care models that show promise of improving healthcare outcomes while lowering cost and their dependency on the use of information technology. The concept of a Learning Healthcare System that continuously improves using informatics to glean new knowledge from actual patient care and feed it back to providers as they take care of future patients. An interview with a team of Emory researchers that are using a FHIR-based tool to help lower the cost of hospital care while improving outcomes. A discussion of electronic medical records, the federal programs to stimulate their adoption and the challenges physicians have in using them. An interview with the lead of the FHIR effort at the major health IT vendor Cerner. A detailed discussion of the rich array of patient-facing informatics tools and approaches used in the past and being increasingly deployed at present. An activity using Microsoft&rsquo;s Personal Health Record system for patients. A detailed discussion of the complex technical and policy issues surrounding the sharing and exchange of confidential health information. An interview with a Blockchain expert and with an expert on data models for sharing of healthcare information for research,

* This article was originally published here

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Friday, September 18, 2020

More Fun with Prime Numbers

More Fun with Prime Numbers 2, 3, 5, 7, 11, 13, 17, 19, 23, 29 are all prime numbers and they hold special significance. Mathematicians from ancient times to the 21st century have been working on prime numbers, as they're one of the most mysterious and important subjects in mathematics.In this course, I will present several attractive topics on prime numbers. You will learn basic concepts of prime numbers from the beginning. They obey mysterious laws. Some laws are easily verified by hand, some laws were discovered 100 years ago, and some laws are yet to be discovered. Surprisingly, prime numbers are also applied to cryptography today. You will also learn how to construct practical cryptosystems using prime numbers.The original course "Fun with Prime Numbers" was first offered in 2015 and attracted many students. This course will be offered as its refined and upgraded version. All the lecture videos will be renewed, and a new topic on cryptography will be added so as to enliven and satisfy even the students who took the previous course.No previous knowledge of prime numbers is required in this course. Calculating with a pen and paper, you will explore the mysterious world of prime numbers. The course is designed to encourage you to attack unsolved problems, and hopefully, discover new laws of your own in the future!

* This article was originally published here

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Solar Energy: Photovoltaic (PV) Systems

Solar Energy: Photovoltaic (PV) Systems In this course you will learn how to turn solar cells into full modules; and how to apply full modules to full photovoltaic systems.The course will widely cover the design of photovoltaic systems, such as utility scale solar farms or residential scale systems (both on and off the grid). You will learn about the function and operation of various components including inverters, batteries, DC-DC converters and their interaction with both the modules and the grid.After learning about the components, you will be able to correctly apply them during main design steps taken when planning a real PV installation with excellent performance and reliability.Through modelling, you will gain a deeper understanding of PV systems performance for different solar energy applications, and proficiency in estimating the energy yield of a client's potential system.This course is part of the Solar Energy Engineering MicroMasters Program designed to cover all physics and engineering aspects of photovoltaics: photovoltaic energy conversion, technologies and systems.

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Thursday, September 17, 2020

High Conflict in Law: An Introduction

High Conflict in Law: An Introduction Are you familiar with &lsquo;high-conflict&rsquo; behaviours? What are they, and how can you effectively work with high-conflict people? Learn about high-conflict behaviours through this introductory course co-developed by the world-leading experts, Bill Eddy and Megan Hunter, co-founders of the High Conflict Institute in the U.S, and Tania Sourdin, Head of School and Dean at Newcastle Law School in Australia. In this course, we will explore high-conflict behaviours and provide you with some strategies and skills for handling them in legal disputes and business settings. Guided by real-world examples, you will gain an understanding of the causes and impacts of high-conflict behaviour, and learn effective responses in high-conflict situations. The course will assist you in further developing your skills in conflict resolution and problem-solving.This course is aimed at anyone who may encounter high-conflict behaviours in a wide range of situations, particularly in a business or legal setting, including: Lawyers or students studying law Business owners Managers HR professionals Administrators Health and medical practitioners.

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Software Engineering Essentials

Software Engineering Essentials The world of software engineering requires high flexibility, an influx of new ideas, and the courage to challenge traditional approaches. As a software engineer, you need to know the methods, workflows and tools to handle continuously growing complexity and shortened development cycles. You must be able to work in teams to build high-quality software. In this course, we will introduce the basic concepts of object-oriented software engineering. You will learn and apply UML modeling, patterns and project management techniques that are used when developing complex software systems. This course is interactive. You will watch videos in which we explain critical theory. You will participate in online exercises to practice your knowledge including quizzes, UML modeling with peer reviews, and programming exercises with immediate feedback

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Wednesday, September 16, 2020

Leadership and Influence

Leadership and Influence Develop the skills to be an effective and successful leader. High impact leaders have the ability to lead and influence others toward a common goal. &nbsp;To do this you must develop your own toolbox of strategies - to maintain engagement, to build collaborative support and to master conflict while remaining true to your authentic self.Upon completing this course, learners will be able to design an effective influence strategy to accomplish goals, even without formal authority. You&rsquo;ll be able to recognize team dynamics and identify ways to help each member contribute more effectively. Through exercises and lessons, you&rsquo;ll pinpoint problems and challenges in the way you (and your teams) make decisions. Finally, you&rsquo;ll walk away with a concrete plan for continuing to expand your situational adaptability as a leader, allowing you to adjust with fluency and achieve your fullest potential.

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高级大数据系统|Advanced Big Data Systems

高级大数据系统|Advanced Big Data Systems 本课程将重点讲解高级大数据系统的实现、优化和应用,包括分布式文件系统、MapReduce/Spark、Storm/Spark streaming、Mahout等系统的原理、实现、策略优化。近年来,人工智能技术正在快速地渗透进各个不同领域。因大数据系统是当今数据驱动人工智能的基础,而变得至关重要。本课程旨在引导学生了解大数据系统的基本概念,包括如何有效地存储、处理和分析数据。课程从分布式系统设计的一般原理出发。&nbsp;之后我们提供了如何在大数据系统中评定存储、计算和网络功能的框架。&nbsp;最后,为了使这些设计原则便于理解,我们的案例研究将使用真实的工业系统来演示基本设计原则如何应用于实际系统,以及该如何分析它们的性能以及局限性。Recent years have witnessed the rapid increase of the penetration of AI technology into different areas in the industry. Big data systems, the foundation that enables today&rsquo;s data-driven AI, are thus becoming critically important. This course is dedicated to lead students into the basic concepts of big data systems, covering how data is effectively stored, processed and analyzed. We start from the general principles in the design of distributed systems; then we provide frameworks on how storage, computation, and network capabilities are scaled in big data systems; finally, to make such design principles easy to follow, our case studies use real industrial systems to demonstrate how the basic design principles are applied in real-world systems as well as how their performance and limitation are analyzed.

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